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This study discusses the problem of job-shop scheduling at one of the well-known mineral water companies in Indonesia. This company produces a number of products in several types with different routes from each other. However, in reality, the effectiveness of production lies in the range of 54.8%–69.2%, so it is still far from running time production where the expected target is 80% for inject and 90% for blow. Where production scheduling is a complex problem so it takes the right method to get the optimal solution for these problems. The research method used is the differential evolution algorithm method, where this method aims to minimize the makespan value (total completion time of all jobs) on the job-shop production route so as to obtain optimal scheduling results and improve the existing system. Scheduling obtained through the differential evolution algorithm method produces a makespan value of x minutes, while the company's schedule has a makespan value of y minutes. So that the proposed scheduling results in a decrease of x% compared to company scheduling.
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 Ariyanti, Silvi, Adiyanto, R. Miharja, “USULAN PENJADWALAN PRODUKSI BENANG MENGGUNAKAN METODE NEH DAN METODE ALGORITMA JOHNSON UNTUK MEMINIMASI WAKTU PRODUKSI DI PT. LAKSANA KURNIA MANDIRI SEJATI”. J. Ind. Eng., vol 6, no. 3, pp. 157–164, 2018.
 Kulsum, D.A. Utami, “USULAN PERENCANAAN PENJADWALAN PRODUKSI DI PT. X”. J. Ind. Ser., vol 4, no. 1, pp. 7–13, 2018.
 Handani, Fika, H. Setyawan, P.L.T Irawan, “RANCANG BANGUN APLIKASI REKOMENDASI PARSEL MENGGUNAKAN DIFFERENTIAL EVOLUTION”. J. Tek. Infor., vol 2, no. 2, pp. 171–181, 2019.
 Kurnia, Aprilia, D. Ernawati, “PERENCANAAN RUTE DISTRIBUSI YANG OPTIMAL DENGAN METODE ALGORITMA DIFFERENTIAL EVOLUTION (DE) PT. XYZ” J. Mnj. Ind., vol 2, no. 4, pp. 73–84, 2021.
 Setiawan, Hendry, D.F Tan, K.R Prilianti, “IMPLEMENTASI DIFFERENTIAL EVOLUTION UNTUK OPTIMASI JADWAL PRODUKSI” J. B. Infor., vol 9, no. 2, pp. 127–137, 2018.
 Sarvina, Yeli, “PEMANFAATAN SOFTWARE OPEN SOURCE “R” UNTUK PENELITIAN AGROKLIMAT”. J. Inf. Pert., vol 26, no. 1, pp. 23–30, 2017.